Angela Moznerova had one analysis on her list for years that never got done: a full review of her restaurant's multi-level recipe bill of materials and plate-level cost of goods sold.
Moznerova works as a fractional CFO and also owns a restaurant in Brooklyn. "Like most owners, I let the urgent beat the important," she wrote in a LinkedIn post on October 20, 2026.
She built it during the AI Finance Accelerator run by AI Finance Club, using Python with AI acting as what she called her "junior analyst." The result covers more than 100 ingredients and sub-recipes, costed down to the plate and refreshed every week.
Moznerova then extended the system beyond costing. She added a Claude skill that pulls sales from platform websites into the restaurant's daily sales flash, checks every figure, and logs the weather, "so a rainy Friday isn't mistaken for a trend."
She then built a sales forecast for each channel using Python and AI, tested it against the restaurant's sales history, and linked it to plate costs.
The three pieces now run as one system. "Costing, daily sales and forecasting now form one picture of the business," she wrote.
On cost, Moznerova said the approach changed what was feasible for a business of her restaurant's size. "Python with AI made this affordable for a business our size," she wrote. "Analysis I could never justify paying for took days to build."
Moznerova built verification into every step. "Automation is only as good as its controls," she wrote. "Every run checks itself against source data."
That check surfaced a specific error. The model flagged a recipe that implied 21 lb of pepper, while invoices showed the restaurant had bought 5 lb. Moznerova cited the case under a broader point about how faster tooling affects decision-making: "Speed raises the stakes on judgment."
She credited members of the accelerator's fifth cohort with shaping how she built the system. Tiffany Stewart, CPA, CMA, showed her how to organize her Claude and ChatGPT setup.
Questions from Jan Hermans and insights from Marianne Neuper, CPA, CMA, reminded her that "data cleaning needs financial judgment." Her coach, Bastian Kneuse, asked whether another restaurant could use the system.
"I think the answer is yes," Moznerova wrote. "Small businesses and startups have always had the same questions as large companies. With the right finance partner and these tools, the answers are within their reach."